{"id":3552196,"url":"https://alion.io/job/ryan-specialty-lead-azure-data-engineer","title":"Lead Azure Data Engineer","company":{"id":1903736,"name":"Ryan Specialty","domain":"ryanspecialty.com","url":"https://alion.io/company/ryanspecialty","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":15,"ghost_share":0,"stale_share":0.933,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Carmel, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-30T23:08:49Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-31T03:56:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Position Summary\nThe Lead Azure Data Engineer will be reporting to VP of Data Engineering and will be responsible for implementing data solutions and collaborating with Business Analyst, Data Analyst, IT Teams and key stake holders. This role will lead projects and coach junior staff on build and optimize data pipelines, integrating data from various sources, ETL (Extract, Transform, Load) processes and ensuring data quality and consistency. The Lead will ensure that our data engineering practices are aligned with the latest technologies and industry best practices, focusing on performance, reliability, and efficiency.What will your job entail?\nJob Responsibilities:\nProvide technical leadership in data architecture and engineering, collaborating with solution stakeholders to align data solutions with business objectives.\nMentor less experienced data engineers and team members, fostering a collaborative and innovative work environment.\nExplore and implement new technologies and practices in data engineering to continually improve our data processes and infrastructure.\nManage and enhance complex SSIS packages for data integration and ETL processes, along with SSRS reports for business intelligence.\nDesign, build, and maintain scalable and efficient data pipelines using Azure Data Factory, implementing both batch and real-time data integration processes.\nDevelop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments.\nImplement and manage data storage solutions using Delta Parquet files in Azure Data Lake Storage, optimizing for query performance and cost-efficiency.\nIntegrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality.\nSet up and manage Change Data Capture processes for real-time data synchronization in Azure data platforms.\nImplement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance.\nEnhance and support Tableau reporting solutions, developing complex dashboards, and integrating with Azure data services.\nDrive automation and process optimization using Azure services and scripting and implement CI/CD pipelines using Azure DevOps.\nLead SQL Server database optimization and performance tuning efforts.\nLead, Coach and Mentor junior staff on projects. Work Experience and Education:\nBachelor’s degree required, Master’s degree preferred; Computer science, Information Technology or Engineering is preferred. Any other related discipline or commensurate work experience considered.\n12+ years of experience in Data Engineering with a Bachelor’s degree, or 8 years of experience with a Master’s degree is preferred.\nSubject Matter Expert in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services.\nProficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview.\nProven experience in Tableau and BI Reporting, and strong skills in Automation and Process Licenses & Certifications:\nAdvanced Data Analytics Certifications (ADAC), SAS Statistical Business Analyst Professional Certification (SBAPC), or Cloudera Certified Professional (CCP) Data Engineer a plus. Skills: Technical/Functional Skills:\nBig Data Analytics\nLeadership\nData Governance\nData Modeling\nData Processing\nData Warehousing\nDatabase Management\nKnowledge of ETL processes\nMachine Learning\nPredictive Analysis\nProgramming Languages Behavioral Skills:\nCritical Thinker\nCommunication\nRelationship Building\nEffective Communication\nTime Management\nProblem Solving\nAttention to Detail\n*****Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time*****\nRyan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Ourvision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexualorientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. Thispolicy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.\nHow We Support Our Teammates\nRyan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them - and their family members - achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.\nThe target salary range for this position is $140,000.00 - $175,000.00 annually.The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/.\nWe provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at \nThe above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. 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